code: def _print_context(
      num_global_devices: int,
      num_clients: int,
      client_id: int,
      device_type: str,
      mesh: layout.Mesh,
  ) -> None:
      logging.info(
          "This is client %d of %d clients", client_id, num_clients
      )
      logging.info(
          "Number of global %s devices: %d",
          device_type.upper(),
          num_global_devices,
      )
      # pylint: disable=protected-access
      logging.info("Global device IDs: %s", mesh.global_device_ids())
      logging.info("Local device IDs: %s", mesh.local_device_ids())
      logging.info("Local devices: %s", mesh.local_devices())
  
file_path: tensorflow/tensorflow/dtensor/python/mesh_util.py
imports: from typing import Dict, List, Optional, Tuple, Union
  from absl import logging
  import numpy
  from tensorflow.dtensor.python import accelerator_util
  from tensorflow.dtensor.python import api
  from tensorflow.dtensor.python import config
  from tensorflow.dtensor.python import layout
  from tensorflow.dtensor.python import tpu_util
  from tensorflow.python.eager import context
  from tensorflow.python.framework import device
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.util.tf_export import tf_export
label_desc: Use image node_id 1 for calling a global function with example usage: _print_context(num_global_devices, num_clients, client_id, device_type, mesh) without return types